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  • Biomechanical deficit profiles associated with ACL injury risk in female athletes.

    Author(s) : Pappas, E.Shiyko, M. P.Ford, K. R.Myer, G. D.Hewett, T. E.

    Journal article : Medicine and Science in Sports & Exercise 2016 Vol.48 No.1 pp.107-113

    Abstract : Purpose: This study aimed to quantify the prevalence of biomechanical deficit patterns associated with anterior cruciate ligament injury risk and their interconnections in a large cohort of female athletes during an unanticipated cutting task. Methods: High school female athletes (n=721) performed an unanticipated cutting task in the biomechanics laboratory. Trunk and lower extremity three-dimensional kinetics and kinematics were measured and entered into a latent profile analysis model. Results: Approximately 40% of female athletes demonstrated no biomechanical deficits and were categorized into the low risk group. The second most prevalent profile (24%) demonstrated a combination of high quadriceps and leg dominance deficits and was labeled as quadriceps-leg. The third most prevalent profile (22%) demonstrated a combination of trunk and leg dominance deficits and to lesser extent ligament dominance deficits and was labeled as trunk-leg-ligament. Finally, the fourth profile (14%) demonstrated very high ligament dominance deficits only and it was labeled as ligament dominance profile. Conclusions: This is the first study to identify the most common biomechanical profiles associated with anterior cruciate ligament injury during a cutting task in a large cohort of female athletes. Approximately 60% of female athletes belong to one of the high-risk profiles. With the exception of the ligament dominance profile, the current analysis indicates that risk profiles consist of a combination of biomechanical deficits. The findings provide important insight into the prevalence of biomechanical deficits and future directions for the development of injury prevention programs. The findings can be used to guide the development of quick and easy tests that accurately categorize athletes into one of the profiles and subsequently prescribe tailored injury prevention programs that will be more effective and efficient than the current generic ones.

    ISSN : 0195-9131

    DOI : 10.1249/MSS.0000000000000750

    URL : http://journals.lww.com/acsm-msse/Abs...

    Record Number : 20163020902

    Publisher : Lippincott Williams & Wilkins, Inc.

    Location of publication : Hagerstown

    Country of publication : USA

    Language of text : English

    Language of summary : English

    Indexing terms for this abstract:

    Organism descriptor(s) : man

    Descriptor(s) : athletes, disease prevalence, disease prevention, epidemiology, human diseases, mathematical models, risk groups, trauma

    Identifier(s) : traumas

    Broader term(s) : Homo, Hominidae, primates, mammals, vertebrates, Chordata, animals, eukaryotes